The Threat of Deep Fake Technology to Trusted Identity Management


Ali, Atif and Jadoon, Yasir Khan and Farid, Zulqarnain and Ahmad, Munir and Abidi, Naseem and Alzoubi, Haitham M. and Alzoubi, Ali A. (2022) The Threat of Deep Fake Technology to Trusted Identity Management. In: 2022 International Conference on Cyber Resilience (ICCR), 6-7 Oct 2022, Dubai, United Arab Emirates.

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With the rapid development of artificial intelligence technology, deepfake technology based on deep learning is receiving more and more attention from society or the industry. While enriching people's cultural and entertainment life, in-depth fakes technology has also caused many social problems, especially potential risks to managing network credible identities. With the continuous advancement of deep fakes technology, the security threats and trust crisis caused by it will become more serious. It is urgent to take adequate measures to curb the abuse risk of deep fakes. The article first introduces the principles and characteristics of deep fakes technology and then deeply analyzes its severe challenges to network trusted identity management. Finally, it researches the supervision and technical level and puts forward targeted preventive countermeasures.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Artificial intelligence, deep fakes, forgery, network trusted identity management
Subjects: Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 16 Mar 2023 01:29
Last Modified: 16 Mar 2023 01:29


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